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SIGI
See who's

See who's signing.
And who's stalling.

Sigi tracks each signer: when they opened, time spent, pages viewed. AI predicts likelihood and flags 24-hour stalls.

Track Your First Contract FreeView Demo
See who's
How it works

From sent contract to signed deal in 4 steps

Contract goes out, behavior gets tracked, AI predicts likelihood, stalled signers get caught early.

1

Tracking Starts

Contract sent, tracking starts immediately

The moment the contract goes out for signature, Sigi starts tracking. Every signer on the contract gets monitored individually. The team sees activity as it happens rather than wondering whether the document ever reached the right inbox.

  • Sent for Signature
  • Tracking Active
  • Per Signer
  • No Setup
2

Behavior Signals

Behavior signals get captured per signer

When each signer opened the contract, how long they spent reading, which pages they actually viewed, whether they returned for a second look. The behavior signals reveal whether the signer is genuinely engaged with the document or has set it aside.

  • First Open
  • Time Spent
  • Pages Viewed
  • Return Visits
3

AI Likelihood

AI predicts signing likelihood

From the captured behavior, Sigi predicts how likely each signer is to sign. Green means likely, yellow uncertain, red risk of stall. Teams see the prediction with the signals, so they see why each contract sits.

  • Green Likely
  • Yellow Uncertain
  • Red Risk
  • Reasoning Shown
4

Stalled Detection

Stalled signers get flagged after 24 hours

A signer who opened the contract, spent real time reading, and hasn't signed after 24 hours is stalled. Sigi flags them automatically so the team can follow up while the deal is warm, not at quarter end.

  • 24 Hour Threshold
  • Viewed But Unsigned
  • Auto Flagged
  • Follow Up Triggered
Why Teams Choose SIGI

Six reasons sent contracts stop disappearing

With per-signer tracking, AI likelihood prediction, and 24-hour stall detection, the team sees what happens after sending.

Sent contracts stop disappearing into a void

Sent contracts stop disappearing into a void

A contract sent with no visibility into what happens next is the default. The signer opens it, or doesn't. Sigi removes the guesswork.

Signing likelihood becomes a real number

Signing likelihood becomes a real number

Will they sign stops being a gut feel and becomes a green, yellow, or red prediction. The team prioritises follow-ups by signal rather than hope.

Stalled signers caught early, not at quarter end

Stalled signers caught early, not at quarter end

A signer who viewed but didn't sign after 24 hours is worth acting on while warm. Catching it next day, not next month, saves the deal.

Behavior signals reveal hesitation before it kills the deal

Behavior signals reveal hesitation before it kills the deal

A signer who spent thirty seconds differs from one who spent twenty minutes on pages. Behavior signals reveal what response the hesitation needs.

Sales operations gets visibility legal traditionally hides

Sales operations gets visibility legal traditionally hides

Contract status historically lived in legal's workflow. Sigi exposes behavior to the sales ops team, without legal losing control.

Background checks run on their own

Background checks run on their own

The 6-hour check cycle runs without anyone refreshing a dashboard. The picture stays current, and the next stalled signer surfaces at the threshold.

Who uses SIGI signing behavior analysis
Deepak MehrotraDeepak MehrotraDeepak MehrotraDeepak Mehrotra

9200+

Teams seeing every signer's behavior, not waiting in the dark

Built for teams who don’t send contracts and hope.

Sales ops teams chasing close who need visibility into where every deal sits. Founders waiting on signatures who won't wonder if the document was opened. Any team whose revenue depends on signatures.

Every Signer

Tracked

Every 6h

Check Cycle

24h Stall

Detection

AI

Likelihood

Tracking Layer

Opens, time spent, pages viewed per signer

Every signer gets tracked individually. When they opened, how long they spent, which pages they viewed, whether they returned. The signals reveal whether the signer is engaged or has set the document aside.

Features

Everything the tracking layer ships with

Per-signer open tracking, time spent, pages viewed, AI signing likelihood, stall detection, background checks.

Per Signer Open Tracking

Every signer gets tracked individually from the moment the document is sent. The team sees who opened, who hasn't, and exactly when each first engaged.

Time Spent Per Signer

How long each signer spent in the document gets captured precisely. Thirty seconds versus twenty minutes reveal different signals.

Pages Viewed Tracking

Which pages each signer viewed gets recorded. A signer returning to a page repeatedly reveals where the hesitation lives.

AI Signing Likelihood Prediction

From the captured signals, AI predicts how likely each signer is to sign: green, yellow, or red with reasoning shown.

Stalled Signer Detection

Signers who opened the contract but haven't signed after 24 hours get flagged automatically, while the deal is still warm.

Background Checks Every 6 Hours

The check cycle runs every 6 hours with no one refreshing a dashboard. Stalled signers surface the moment they qualify.

Questions & answers

Everything you need to know

What gets tracked, how AI prediction works, what counts as stalled, and the 6-hour cycle.

Every interaction each signer has with the contract. First open time, total time spent inside the document, which specific pages were viewed, whether the signer returned for additional reads, how long each visit lasted. The signals are captured per signer rather than aggregated across the whole contract, so the team sees each individual's engagement separately.
The AI weighs the captured signals against historical patterns of signed and unsigned contracts. A signer who opens quickly, spends meaningful time, and views all pages tends to sign. A signer who opens and immediately closes, or repeatedly returns to a single page without progressing, tends to stall. The prediction comes out as green, yellow, or red with the reasoning shown.
A signer who has opened the contract, spent meaningful time reading, and hasn't signed after 24 hours. The threshold catches the case where the signer has clearly engaged with the document but hasn't progressed to signature. Signers who haven't opened at all are tracked separately as not yet opened since the signal is different and calls for a different team response.
Follow up while the deal is still warm. The stalled flag surfaces in the team's signing dashboard with the specific signer named, the time since they last viewed, and the pages they spent the most time on. The team uses that context for a targeted follow up, addressing whatever provision the behavior suggests is causing the hesitation rather than sending a generic reminder.
Every 6 hours, Sigi runs a background check across every active contract to update signing status, refresh the likelihood prediction, and detect any signers who have newly crossed the 24 hour stall threshold. The cycle runs without manual triggering. The team's dashboard stays current automatically and new stalled signers appear within 6 hours of crossing the threshold.
Standard signing platforms tell the team whether a contract was opened or signed. Signing Behavior Analysis reveals what happens between those two events. Time spent, pages viewed, return visits, signing likelihood prediction. The behavioral layer that standard platforms don't surface but that actually determines whether the contract closes.
Sigi · AI documents and e-signature

Sigi drafts, sends, and gets it signed without the chasing.

Turn a contract into a signed, audited document in minutes while AI flags risky clauses before they reach your signer.

Start free with SigiBook a demo
5 min
average time to signed
0
risky clauses missed
100%
documents with audit trail
6
signing workflows supported
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